{"repo":"Ashvala/AQUA-Tk","free":true,"listed":false,"github":"https://github.com/Ashvala/AQUA-Tk","clone":"git clone https://github.com/Ashvala/AQUA-Tk.git","description":"AQUA-Tk = Audio QUality Assessment-Toolkit. (In development)","language":"Python","stars":105,"topics":["audio-quality-assessment","metrics","audio-metrics"],"license":"GPL-3.0","category":"analytics","readme_excerpt":"AquaTK ----- Still in development AquaTK is short for \"Audio QUality Assessment Toolkit\". It contains metrics that are popularly used in the evaluation of Neural Audio Synthesizers such as FAD and Kernel Distances. It also contains a pure python port of PEAQb, a C implementation of the Basic PEAQ algorithm. Currently implemented metrics: Metric Description ------ --------------------------------- FAD Frechet Audio Distance KID Kernel Inception Distance PEAQb Basic PEAQ NDB/k Number of Different Bins over K SISDR Scale-Invariant SDR SNR Signal-to-Noise Ratio MAE Mean Absolute Error MSE Mean Squared Error KL Kullback-Leibler Divergence Installation You can install this repo using Git for now. PyPi support is coming soon. Using UV (recommended): Using pip: Optional Dependencies AquaTK has optional extras for different embedding extractors and features: Extra Description ------- ------------- vggish VGGish embedding extractor (TensorFlow) panns PANNs embedding extractor openl3 OpenL3 embedding extractor (requires Python <3.12) ui Streamlit web interface plotting Matplotlib for visualizations runner Librosa for audio processing dev Development dependencies (pytest) all All optional dependencies Install with extras: Development Setup Setting up VGGish weights: Download The following: VGGish model checkpoint Embedding PCA parameters Put them in the embedding extractors/models/vggish folder. However, as long as you have the files, you can set the paths manually by yourself when initi","default_branch":null,"files":null,"tree":[],"storefront":"/r/Ashvala","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Ashvala/AQUA-Tk/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}